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library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: tiny-audio-next-plus
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tiny-audio-next-plus
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3325
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 50
- eval_batch_size: 50
- seed: 43
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_steps: 5000
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3891 | 0.0470 | 2000 | 0.4868 |
| 0.3933 | 0.0939 | 4000 | 0.4988 |
| 0.3770 | 0.1409 | 6000 | 0.4885 |
| 0.3654 | 0.1879 | 8000 | 0.4802 |
| 0.3559 | 0.2348 | 10000 | 0.4621 |
| 0.3294 | 0.2818 | 12000 | 0.4519 |
| 0.3267 | 0.3287 | 14000 | 0.4353 |
| 0.3255 | 0.3757 | 16000 | 0.4314 |
| 0.3155 | 0.4227 | 18000 | 0.4185 |
| 0.3009 | 0.4696 | 20000 | 0.4137 |
| 0.2966 | 0.5166 | 22000 | 0.4031 |
| 0.3016 | 0.5636 | 24000 | 0.3930 |
| 0.2919 | 0.6105 | 26000 | 0.3963 |
| 0.2842 | 0.6575 | 28000 | 0.3966 |
| 0.2757 | 0.7045 | 30000 | 0.3915 |
| 0.2811 | 0.7514 | 32000 | 0.3801 |
| 0.2803 | 0.7984 | 34000 | 0.3814 |
| 0.2594 | 0.8453 | 36000 | 0.3727 |
| 0.2460 | 0.8923 | 38000 | 0.3671 |
| 0.2588 | 0.9393 | 40000 | 0.3607 |
| 0.2664 | 0.9862 | 42000 | 0.3618 |
| 0.2111 | 1.0332 | 44000 | 0.3581 |
| 0.2046 | 1.0802 | 46000 | 0.3639 |
| 0.2081 | 1.1271 | 48000 | 0.3586 |
| 0.2014 | 1.1741 | 50000 | 0.3615 |
| 0.2073 | 1.2211 | 52000 | 0.3573 |
| 0.2003 | 1.2680 | 54000 | 0.3545 |
| 0.2013 | 1.3150 | 56000 | 0.3547 |
| 0.1936 | 1.3619 | 58000 | 0.3559 |
| 0.1921 | 1.4089 | 60000 | 0.3469 |
| 0.1774 | 1.4559 | 62000 | 0.3473 |
| 0.2008 | 1.5028 | 64000 | 0.3444 |
| 0.1949 | 1.5498 | 66000 | 0.3459 |
| 0.1883 | 1.5968 | 68000 | 0.3462 |
| 0.1728 | 1.6437 | 70000 | 0.3425 |
| 0.1785 | 1.6907 | 72000 | 0.3413 |
| 0.1816 | 1.7377 | 74000 | 0.3396 |
| 0.1796 | 1.7846 | 76000 | 0.3359 |
| 0.1791 | 1.8316 | 78000 | 0.3358 |
| 0.2006 | 1.8786 | 80000 | 0.3367 |
| 0.1800 | 1.9255 | 82000 | 0.3317 |
| 0.1833 | 1.9725 | 84000 | 0.3344 |
| 0.1848 | 2.0 | 85172 | 0.3325 |
### Framework versions
- Transformers 5.7.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
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